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"""
配置抽象服务
提供统一的配置管理、环境适配和配置验证能力
"""
import os
from abc import ABC, abstractmethod
from typing import Any, Dict, Optional, Union, List
from dataclasses import dataclass
from enum import Enum
from dotenv import load_dotenv
class Environment(Enum):
"""运行环境枚举"""
DEVELOPMENT = "development"
PRODUCTION = "production"
TESTING = "testing"
STAGING = "staging"
@dataclass
class ConfigurationValidationResult:
"""配置验证结果"""
is_valid: bool
errors: List[str]
warnings: List[str]
class IConfigurationService(ABC):
"""配置服务抽象接口"""
@abstractmethod
def get_value(self, key: str, default: Any = None) -> Any:
"""获取配置值"""
pass
@abstractmethod
def set_value(self, key: str, value: Any) -> None:
"""设置配置值"""
pass
@abstractmethod
def validate_configuration(self) -> ConfigurationValidationResult:
"""验证配置完整性"""
pass
@abstractmethod
def get_environment(self) -> Environment:
"""获取当前运行环境"""
pass
@abstractmethod
def get_all_configs(self) -> Dict[str, Any]:
"""获取所有配置项(安全版本)"""
pass
class ConfigurationService(IConfigurationService):
"""配置服务实现类"""
def __init__(self, environment: Optional[Environment] = None):
"""初始化配置服务
Args:
environment: 指定运行环境,如果不指定则自动检测
"""
# 加载环境变量
load_dotenv()
# 设置运行环境
self._environment = environment or self._detect_environment()
# 内部配置存储
self._config_cache: Dict[str, Any] = {}
# 初始化默认配置
self._init_default_configs()
# 敏感配置列表(用于安全显示)
self._sensitive_keys = {
'google_api_key', 'api_key', 'secret', 'password', 'token'
}
def _detect_environment(self) -> Environment:
"""自动检测运行环境"""
env_str = os.getenv("APP_ENVIRONMENT", "development").lower()
# 检测特殊环境标识
if os.getenv("SPACE_ID"): # Hugging Face Spaces
return Environment.PRODUCTION
if env_str == "production":
return Environment.PRODUCTION
elif env_str == "testing":
return Environment.TESTING
elif env_str == "staging":
return Environment.STAGING
else:
return Environment.DEVELOPMENT
def _init_default_configs(self) -> None:
"""初始化默认配置"""
self._default_configs = {
# Google API 配置
"google_api_key": None,
# 模型配置
"embedding_model": "models/embedding-001",
"chat_model": "gemini-2.5-flash-preview-05-20",
"fallback_models": [
"gemini-2.5-flash-preview-05-20",
"gemini-2.0-flash",
"gemini-2.0-flash-lite",
"gemini-1.5-flash",
"gemini-1.5-pro"
],
# 文本处理配置
"chunk_size": 1000,
"chunk_overlap": 200,
"max_tokens": 1000,
# 语义分块配置
"use_semantic_chunking": True, # 是否启用语义分块
"semantic_min_chunk_size": 100, # 语义分块最小大小
"semantic_max_chunk_size": 2000, # 语义分块最大大小
"fallback_to_traditional": True, # 语义分块失败时是否回退到传统方法
# 检索配置
"similarity_top_k": 4,
"search_similarity_threshold": 0.7,
# 数据库配置
"chroma_db_path": "./chroma_db",
"chroma_collection_name": "documents",
# 文件上传配置
"max_file_size_mb": 50,
"allowed_file_types": [".pdf", ".docx", ".xlsx", ".pptx", ".txt", ".md"],
"upload_temp_dir": "./uploads",
# 对话配置
"max_history_length": 10,
"conversation_timeout_minutes": 30,
# 性能配置
"request_timeout_seconds": 120,
"max_concurrent_requests": 5,
"rate_limit_requests_per_minute": 60,
# UI配置
"gradio_server_name": "127.0.0.1",
"gradio_server_port": 7860,
"gradio_debug": True,
# 日志配置
"log_level": "INFO",
"log_format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
"log_file_path": "./logs/app.log",
"log_max_file_size_mb": 10,
"log_backup_count": 5,
}
# 根据环境调整默认配置
if self._environment == Environment.PRODUCTION:
self._default_configs.update({
"gradio_debug": False,
"log_level": "WARNING",
"gradio_server_name": "0.0.0.0",
"gradio_server_port": 7860,
})
elif self._environment == Environment.TESTING:
self._default_configs.update({
"log_level": "DEBUG",
"max_file_size_mb": 10, # 测试环境限制文件大小
"chroma_db_path": "./test_chroma_db",
})
def get_value(self, key: str, default: Any = None) -> Any:
"""获取配置值"""
# 先检查缓存
if key in self._config_cache:
return self._config_cache[key]
# 转换为环境变量格式
env_key = key.upper()
# 从环境变量获取
env_value = os.getenv(env_key)
if env_value is not None:
# 尝试类型转换
converted_value = self._convert_value(env_value, key)
self._config_cache[key] = converted_value
return converted_value
# 从默认配置获取
if key in self._default_configs:
value = self._default_configs[key]
self._config_cache[key] = value
return value
# 返回提供的默认值
return default
def set_value(self, key: str, value: Any) -> None:
"""设置配置值"""
self._config_cache[key] = value
def _convert_value(self, value: str, key: str) -> Any:
"""根据键名和默认值类型转换环境变量值"""
# 获取默认值以确定类型
default_value = self._default_configs.get(key)
if isinstance(default_value, bool):
return value.lower() in ('true', '1', 'yes', 'on')
elif isinstance(default_value, int):
try:
return int(value)
except ValueError:
return default_value
elif isinstance(default_value, float):
try:
return float(value)
except ValueError:
return default_value
elif isinstance(default_value, list):
# 支持逗号分隔的列表
if ',' in value:
return [item.strip() for item in value.split(',')]
else:
return [value]
else:
return value
def validate_configuration(self) -> ConfigurationValidationResult:
"""验证配置完整性"""
errors = []
warnings = []
# 检查必需的配置项
api_key = self.get_value("google_api_key")
if not api_key:
errors.append("Google API Key 未配置")
elif not api_key.startswith('AIza'):
warnings.append("Google API Key 格式可能不正确")
# 检查文件路径配置
chroma_path = self.get_value("chroma_db_path")
upload_dir = self.get_value("upload_temp_dir")
try:
os.makedirs(os.path.dirname(chroma_path), exist_ok=True)
os.makedirs(upload_dir, exist_ok=True)
except Exception as e:
errors.append(f"无法创建必要目录: {e}")
# 检查数值配置合理性
chunk_size = self.get_value("chunk_size")
if chunk_size <= 0:
errors.append("chunk_size 必须大于0")
max_file_size = self.get_value("max_file_size_mb")
if max_file_size <= 0:
errors.append("max_file_size_mb 必须大于0")
# 检查端口配置
port = self.get_value("gradio_server_port")
if not (1024 <= port <= 65535):
warnings.append(f"端口 {port} 可能不在推荐范围内 (1024-65535)")
return ConfigurationValidationResult(
is_valid=len(errors) == 0,
errors=errors,
warnings=warnings
)
def get_environment(self) -> Environment:
"""获取当前运行环境"""
return self._environment
def get_all_configs(self) -> Dict[str, Any]:
"""获取所有配置项(安全版本)"""
all_configs = {}
# 合并默认配置和缓存配置
for key in self._default_configs.keys():
value = self.get_value(key)
# 敏感信息脱敏处理
if any(sensitive in key.lower() for sensitive in self._sensitive_keys):
if value and len(str(value)) > 8:
all_configs[key] = f"{str(value)[:4]}...{str(value)[-4:]}"
elif value:
all_configs[key] = "***已配置***"
else:
all_configs[key] = "***未配置***"
else:
all_configs[key] = value
return all_configs
def get_model_configs(self) -> Dict[str, Any]:
"""获取模型相关配置"""
return {
"chat_model": self.get_value("chat_model"),
"embedding_model": self.get_value("embedding_model"),
"fallback_models": self.get_value("fallback_models"),
"max_tokens": self.get_value("max_tokens"),
"request_timeout": self.get_value("request_timeout_seconds"),
}
def get_gradio_configs(self) -> Dict[str, Any]:
"""获取Gradio相关配置"""
return {
"server_name": self.get_value("gradio_server_name"),
"server_port": self.get_value("gradio_server_port"),
"debug": self.get_value("gradio_debug"),
"share": self._environment == Environment.PRODUCTION,
"show_error": self.get_value("gradio_debug"),
"inbrowser": False,
}
def get_database_configs(self) -> Dict[str, Any]:
"""获取数据库相关配置"""
return {
"chroma_db_path": self.get_value("chroma_db_path"),
"collection_name": self.get_value("chroma_collection_name"),
}
def reload_configuration(self) -> None:
"""重新加载配置"""
self._config_cache.clear()
load_dotenv(override=True)
# 创建全局配置服务单例
_config_service: Optional[ConfigurationService] = None
def get_config_service() -> ConfigurationService:
"""获取配置服务单例"""
global _config_service
if _config_service is None:
_config_service = ConfigurationService()
return _config_service
def create_config_service(environment: Optional[Environment] = None) -> ConfigurationService:
"""创建新的配置服务实例(主要用于测试)"""
return ConfigurationService(environment) |